GridSearchCV(cv=CustomCVSplitter(cv_indices=[([34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 10...50, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169])],
fe...
estimator=Pipeline(steps=[('remove_columns',
FunctionTransformer(func=<function problem_columns at 0x169abbee0>)),
('model', GradientBoostingRegressor())]),
n_jobs=-1,
param_grid={'model__max_depth': [3, 5, 7],
'model__min_samples_leaf': [1, 3, 5, 7, 9],
'model__min_samples_split': [2, 4, 6, 8, 10, 20, 40,
60, 100],
'model__n_estimators': [50, 100, 200]},
scoring='neg_mean_squared_error')In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
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